Triple

T10349570
Position Surface form Disambiguated ID Type / Status
Subject Penelope Wilton E243843 entity
Predicate name P16 FINISHED
Object Penelope Wilton E243843 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Penelope Wilton | Statement: [Penelope Wilton, name, Penelope Wilton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penelope Wilton
Context triple: [Penelope Wilton, name, Penelope Wilton]
  • A. Penelope Wilton chosen
    Penelope Wilton is an English actress known for her acclaimed work in film, television, and theatre, including roles in "Downton Abbey" and "The Best Exotic Marigold Hotel."
  • B. Louise Plowright
    Louise Plowright was a British actress known for her work in television and musical theatre, including notable roles in West End productions.
  • C. Betsy Aidem
    Betsy Aidem is an American actress known for her work in film, television, and theater.
  • D. Lesley Garrett
    Lesley Garrett is an English soprano and media personality known for her operatic performances and popular classical crossover work.
  • E. Eleanor Bron
    Eleanor Bron is a British actress and writer known for her distinctive, often imperious screen presence in film, television, and theatre.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e946cbb881909b88536d0107995d completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7508e325c8190a88c2b972f8a6846 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:57 a.m.